Method and device for aligning a lens system

A device for aligning a lens system, the device being configured to:

• a. align the lens system according to a provided first alignment;
• b. ascertain a first refracted optical signal, the first refracted optical signal being ascertained by a refraction of a first emitted optical signal at the lens system aligned according to the first alignment;
• c. ascertain a first attribute value, the first attribute value characterizing an attribute of the first refracted optical signal;
• d. train a first machine learning system as a function of the first alignment and the ascertained first attribute value, the machine learning system being configured to ascertain an output for an alignment that characterizes the attribute of the alignment;
• and
• e. ascertain the alignment of the lens system based on the output of the first machine learning system, wherein the first machine learning system includes a polynomial model, which is configured to ascertain the output that characterizes the attribute for an alignment.

A non-transitory machine-readable memory medium on which is stored a computer program for ascertaining an alignment of a lens system, the computer program, when executed by a processor, causing the processor to perform the following steps:

• a. aligning the lens system according to a provided first alignment;
• b. ascertaining a first refracted optical signal, the first refracted optical signal being ascertained by a refraction of a first emitted optical signal at the lens system aligned according to the first alignment;
• c. ascertaining a first attribute value, the first attribute value characterizing an attribute of the first refracted optical signal;
• d. training a first machine learning system as a function of the first alignment and the ascertained first attribute value, the machine learning system being configured to ascertain an output for an alignment that characterizes the attribute of the alignment;
• and
• e. ascertaining the alignment of the lens system based on the output of the first machine learning system, wherein the first machine learning system includes a polynomial model, which is configured to ascertain the output that characterizes the attribute for an alignment.